{"id":"W2989960656","doi":"10.4000/histoiremesure.5743","title":"Le chiffre et la carte","year":2017,"lang":"fr","type":"article","venue":"Histoire & Mesure","topic":"Census and Population Estimation","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Latin Americans; Archaeology; Geography; History; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001319882,0.0003625351,0.0003153109,0.00260098,0.003645526,0.007595371,0.0003827932,0.001584902,0.03937652],"category_scores_gemma":[0.003302579,0.0003493154,0.000325211,0.003715683,0.002982089,0.002297702,0.001920287,0.001947067,0.005496425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004076273,"about_ca_system_score_gemma":0.004482161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1215038,"about_ca_topic_score_gemma":0.1529631,"domain_scores_codex":[0.9986313,0.0004949278,0.00005760473,0.0001995414,0.0004225592,0.0001939632],"domain_scores_gemma":[0.9992224,0.0002764395,0.00008377934,0.0001204443,0.0002062778,0.00009071008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006214909,0.00002148596,0.00587355,0.0001508791,0.00001665041,0.0003332976,0.007864335,0.0003933023,0.0004036222,0.7238419,0.1234145,0.1376242],"study_design_scores_gemma":[0.000004402082,0.000007973033,0.005233266,0.00008261083,0.000003040165,0.0001367776,0.0009134131,0.0001451606,0.0001312031,0.008104159,0.9852284,0.000009720645],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06891447,0.04651031,0.01003467,0.04262403,0.007976145,0.00009496322,0.003458209,0.0004050584,0.8199822],"genre_scores_gemma":[0.3152456,0.01612773,0.01072771,0.002840316,0.001923515,0.0001032622,0.0009727748,0.0002591581,0.6518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1215038,"threshold_uncertainty_score":0.2415932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03331797504051753,"score_gpt":0.3298064500668095,"score_spread":0.2964884750262919,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}